• Satish Kumar Gautam
• Mr. Rupesh Mahamune

Foreground detection is very critical in video signal. For foreground detection we take video signal from the static camera. In foreground detection we follows these steps pre-processing, background modelling and foreground detection. In preprocessing we removes the noise in background modelling we model the background model, in foreground detection in this paper we detect the foreground by the comparative analysis of number of Gaussian frame. Result we compare by the help of comparative analysis of number of Gaussian frame and percentage foreground detection.

foreground, background, clustering, GMM, threshold, MSE, PSNR

"Implementation of the Gaussian Mixture Model Algorithm for Foreground Detection using Segmentation and Thresholdind for High Definition video signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 9, page no.26-30, September-2016, Available :http://www.jetir.org/papers/JETIR1609005.pdf

"Implementation of the Gaussian Mixture Model Algorithm for Foreground Detection using Segmentation and Thresholdind for High Definition video signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp26-30, September-2016, Available at : http://www.jetir.org/papers/JETIR1609005.pdf